Softwareentwickler im Bereich der Datenanalyse von numerischen Simulationen (all genders)
Core
Developing robust, scalable, and domain-adapted data analysis concepts and methods at the intersection of numerical simulation and machine learning for engineering applications.
Role type
Machine Learning Engineer (Numerical Simulation & Data Analysis)
Builds
Custom data analysis solutions and software for virtual data-driven product development based on CAE.
Domain
Engineering, Numerical Simulation, Machine Learning
Deliverable
production ML models | product features
Required skills
Machine learning method development, Data analysis, Software development, C/C++/Python programming, Numerical algorithms, CAE data interpretation
Preferred skills
Statistics, Database technologies, CI/CD, Web technologies, Realization of deployable software products
Responsibilities
Develop machine learning methods, Conceive and implement tailored data analysis solutions, Integrate and evaluate algorithms in real applications, Interpret and analyze CAE data, Participate in technology transfer to companies
Seniority
Mid-level, hands-on IC